Pith Number
pith:JS6RO6E7
pith:2025:JS6RO6E7LHA223HJLSPSFK36FO
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refs pending
Neural network-based prediction of particle-induced fission cross sections for r-process nucleosynthesis trained with dynamical reaction models
arxiv:2502.17700 v1 · 2025-02-24 · nucl-th
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JS6RO6E7LHA223HJLSPSFK36FO}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-07-05T10:19:42.569791Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4cbd17789f59c1ad6ce95c9f22ab7e2b9ddbb830ef6f5432e8bcb04dc90ea598
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JS6RO6E7LHA223HJLSPSFK36FO \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 4cbd17789f59c1ad6ce95c9f22ab7e2b9ddbb830ef6f5432e8bcb04dc90ea598
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3cfd0bf968fcaddcbaa630a1f949c21ec768b957fbc5c09311d78d7a438f87a1",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "nucl-th",
"submitted_at": "2025-02-24T22:46:29Z",
"title_canon_sha256": "6f0fc34549fc90d70aeeaa41099e1d0fe55d4e73702c3e7caeec422f9e791ec5"
},
"schema_version": "1.0",
"source": {
"id": "2502.17700",
"kind": "arxiv",
"version": 1
}
}